{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a2519f34",
   "metadata": {
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     "exception": false,
     "start_time": "2025-07-10T21:53:15.646770",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Brazilian E-commerce Customer Segmentation with Olist Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76e31400",
   "metadata": {
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     "start_time": "2025-07-10T21:53:15.668986",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 0. 环境与数据 / Environment and Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36ee5a0a",
   "metadata": {
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     "start_time": "2025-07-10T21:53:15.687872",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 0.1 说明 / Description"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "539eec2f",
   "metadata": {
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     "status": "completed"
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    "tags": []
   },
   "source": [
    "本 Notebook 在 Kaggle 平台运行。\n",
    "\n",
    "This notebook runs on the Kaggle platform."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2bd2815",
   "metadata": {
    "papermill": {
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     "start_time": "2025-07-10T21:53:15.726572",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Notebook 链接：[https://www.kaggle.com/code/yiquanxiao/brazilian-e-commerce-customer-segmentation](https://www.kaggle.com/code/yiquanxiao/brazilian-e-commerce-customer-segmentation)\n",
    "\n",
    "Notebook Link: [https://www.kaggle.com/code/yiquanxiao/brazilian-e-commerce-customer-segmentation](https://www.kaggle.com/code/yiquanxiao/brazilian-e-commerce-customer-segmentation)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bdb50dc",
   "metadata": {
    "papermill": {
     "duration": 0.009009,
     "end_time": "2025-07-10T21:53:15.754232",
     "exception": false,
     "start_time": "2025-07-10T21:53:15.745223",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 0.2 依赖 / Dependencies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "856b9ae3",
   "metadata": {
    "papermill": {
     "duration": 0.00891,
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     "exception": false,
     "start_time": "2025-07-10T21:53:15.763530",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "如需 LightGBM，可在 Kaggle 中执行：\n",
    "\n",
    "If LightGBM is needed, run in Kaggle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3db45167",
   "metadata": {
    "execution": {
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     "exception": false,
     "start_time": "2025-07-10T21:53:15.781709",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: lightgbm in /usr/local/lib/python3.11/dist-packages (4.5.0)\r\n",
      "\u001b[33mWARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7d7116cb2550>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/lightgbm/\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7d71168fbb50>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/lightgbm/\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7d71169f2f50>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/lightgbm/\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7d7116910910>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/lightgbm/\u001b[0m\u001b[33m\r\n",
      "\u001b[0m\u001b[33mWARNING: Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NewConnectionError('<pip._vendor.urllib3.connection.HTTPSConnection object at 0x7d7116888190>: Failed to establish a new connection: [Errno -3] Temporary failure in name resolution')': /simple/lightgbm/\u001b[0m\u001b[33m\r\n",
      "\u001b[0mRequirement already satisfied: numpy>=1.17.0 in /usr/local/lib/python3.11/dist-packages (from lightgbm) (1.26.4)\r\n",
      "Requirement already satisfied: scipy in /usr/local/lib/python3.11/dist-packages (from lightgbm) (1.15.3)\r\n",
      "Requirement already satisfied: mkl_fft in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (1.3.8)\r\n",
      "Requirement already satisfied: mkl_random in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (1.2.4)\r\n",
      "Requirement already satisfied: mkl_umath in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (0.1.1)\r\n",
      "Requirement already satisfied: mkl in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (2025.2.0)\r\n",
      "Requirement already satisfied: tbb4py in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (2022.2.0)\r\n",
      "Requirement already satisfied: mkl-service in /usr/local/lib/python3.11/dist-packages (from numpy>=1.17.0->lightgbm) (2.4.1)\r\n",
      "Requirement already satisfied: intel-openmp<2026,>=2024 in /usr/local/lib/python3.11/dist-packages (from mkl->numpy>=1.17.0->lightgbm) (2024.2.0)\r\n",
      "Requirement already satisfied: tbb==2022.* in /usr/local/lib/python3.11/dist-packages (from mkl->numpy>=1.17.0->lightgbm) (2022.2.0)\r\n",
      "Requirement already satisfied: tcmlib==1.* in /usr/local/lib/python3.11/dist-packages (from tbb==2022.*->mkl->numpy>=1.17.0->lightgbm) (1.4.0)\r\n",
      "Requirement already satisfied: intel-cmplr-lib-rt in /usr/local/lib/python3.11/dist-packages (from mkl_umath->numpy>=1.17.0->lightgbm) (2024.2.0)\r\n",
      "Requirement already satisfied: intel-cmplr-lib-ur==2024.2.0 in /usr/local/lib/python3.11/dist-packages (from intel-openmp<2026,>=2024->mkl->numpy>=1.17.0->lightgbm) (2024.2.0)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install -U lightgbm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6328aa99",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd  # 数据处理 / data manipulation\n",
    "import numpy as np   # 数值计算 / numerical computing\n",
    "import matplotlib.pyplot as plt  # 可视化 / visualization\n",
    "import seaborn as sns  # 可视化 / visualization\n",
    "from sklearn.preprocessing import StandardScaler  # 特征缩放 / feature scaling\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.metrics import silhouette_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import f1_score, classification_report\n",
    "import lightgbm as lgb\n",
    "from lightgbm import LGBMClassifier, early_stopping, log_evaluation\n",
    "import shap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e208225f",
   "metadata": {
    "papermill": {
     "duration": 0.009984,
     "end_time": "2025-07-10T21:56:58.748507",
     "exception": false,
     "start_time": "2025-07-10T21:56:58.738523",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1. 数据加载与整理 / Data Loading and Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "116d8fbf",
   "metadata": {
    "papermill": {
     "duration": 0.009519,
     "end_time": "2025-07-10T21:56:58.767758",
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     "start_time": "2025-07-10T21:56:58.758239",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 1.1 读取核心四张表：orders, order\\_items, customers, payments \n",
    "Read the four core tables: orders, order\\_items, customers, payments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cce8319f",
   "metadata": {
    "execution": {
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    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "customers: (99441, 5)\n",
      "orders: (99441, 8)\n",
      "order_items: (112650, 7)\n",
      "payments: (103886, 5)\n"
     ]
    }
   ],
   "source": [
    "# 从 Kaggle 平台加载所需数据集 / Load necessary datasets from Kaggle input\n",
    "customers = pd.read_csv('/kaggle/input/brazilian-ecommerce/olist_customers_dataset.csv')  # 客户信息 / customer data\n",
    "orders = pd.read_csv('/kaggle/input/brazilian-ecommerce/olist_orders_dataset.csv')      # 订单信息 / order data\n",
    "order_items = pd.read_csv('/kaggle/input/brazilian-ecommerce/olist_order_items_dataset.csv')  # 订单商品明细 / order items detail\n",
    "payments = pd.read_csv('/kaggle/input/brazilian-ecommerce/olist_order_payments_dataset.csv')  # 支付信息 / payment data\n",
    "\n",
    "# 查看加载情况 / Quick check of loaded data shapes\n",
    "print(f\"customers: {customers.shape}\")\n",
    "print(f\"orders: {orders.shape}\")\n",
    "print(f\"order_items: {order_items.shape}\")\n",
    "print(f\"payments: {payments.shape}\")"
   ]
  },
  {
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   "execution_count": 4,
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    "customers.head()"
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       "      <td>delivered</td>\n",
       "      <td>2017-11-18 19:28:06</td>\n",
       "      <td>2017-11-18 19:45:59</td>\n",
       "      <td>2017-11-22 13:39:59</td>\n",
       "      <td>2017-12-02 00:28:42</td>\n",
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       "      <td>2018-02-13 22:20:29</td>\n",
       "      <td>2018-02-14 19:46:34</td>\n",
       "      <td>2018-02-16 18:17:02</td>\n",
       "      <td>2018-02-26 00:00:00</td>\n",
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       "                           order_id                       customer_id  \\\n",
       "0  e481f51cbdc54678b7cc49136f2d6af7  9ef432eb6251297304e76186b10a928d   \n",
       "1  53cdb2fc8bc7dce0b6741e2150273451  b0830fb4747a6c6d20dea0b8c802d7ef   \n",
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       "\n",
       "  order_status order_purchase_timestamp    order_approved_at  \\\n",
       "0    delivered      2017-10-02 10:56:33  2017-10-02 11:07:15   \n",
       "1    delivered      2018-07-24 20:41:37  2018-07-26 03:24:27   \n",
       "2    delivered      2018-08-08 08:38:49  2018-08-08 08:55:23   \n",
       "3    delivered      2017-11-18 19:28:06  2017-11-18 19:45:59   \n",
       "4    delivered      2018-02-13 21:18:39  2018-02-13 22:20:29   \n",
       "\n",
       "  order_delivered_carrier_date order_delivered_customer_date  \\\n",
       "0          2017-10-04 19:55:00           2017-10-10 21:25:13   \n",
       "1          2018-07-26 14:31:00           2018-08-07 15:27:45   \n",
       "2          2018-08-08 13:50:00           2018-08-17 18:06:29   \n",
       "3          2017-11-22 13:39:59           2017-12-02 00:28:42   \n",
       "4          2018-02-14 19:46:34           2018-02-16 18:17:02   \n",
       "\n",
       "  order_estimated_delivery_date  \n",
       "0           2017-10-18 00:00:00  \n",
       "1           2018-08-13 00:00:00  \n",
       "2           2018-09-04 00:00:00  \n",
       "3           2017-12-15 00:00:00  \n",
       "4           2018-02-26 00:00:00  "
      ]
     },
     "execution_count": 5,
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    "orders.head()"
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       "                           order_id  order_item_id  \\\n",
       "0  00010242fe8c5a6d1ba2dd792cb16214              1   \n",
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       "4  00042b26cf59d7ce69dfabb4e55b4fd9              1   \n",
       "\n",
       "                         product_id                         seller_id  \\\n",
       "0  4244733e06e7ecb4970a6e2683c13e61  48436dade18ac8b2bce089ec2a041202   \n",
       "1  e5f2d52b802189ee658865ca93d83a8f  dd7ddc04e1b6c2c614352b383efe2d36   \n",
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       "\n",
       "   shipping_limit_date   price  freight_value  \n",
       "0  2017-09-19 09:45:35   58.90          13.29  \n",
       "1  2017-05-03 11:05:13  239.90          19.93  \n",
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       "4  2017-02-13 13:57:51  199.90          18.14  "
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    "order_items.head()"
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       "                           order_id  payment_sequential payment_type  \\\n",
       "0  b81ef226f3fe1789b1e8b2acac839d17                   1  credit_card   \n",
       "1  a9810da82917af2d9aefd1278f1dcfa0                   1  credit_card   \n",
       "2  25e8ea4e93396b6fa0d3dd708e76c1bd                   1  credit_card   \n",
       "3  ba78997921bbcdc1373bb41e913ab953                   1  credit_card   \n",
       "4  42fdf880ba16b47b59251dd489d4441a                   1  credit_card   \n",
       "\n",
       "   payment_installments  payment_value  \n",
       "0                     8          99.33  \n",
       "1                     1          24.39  \n",
       "2                     1          65.71  \n",
       "3                     8         107.78  \n",
       "4                     2         128.45  "
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   "source": [
    "### 1.2 合并为“订单-用户”明细 / Merge into order-user level detail"
   ]
  },
  {
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     "text": [
      "合并后数据维度: (118434, 10)\n"
     ]
    },
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       "      <td>8.72</td>\n",
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       "      <td>2018-07-24 20:41:37</td>\n",
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       "      <td>118.70</td>\n",
       "      <td>22.76</td>\n",
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       "      <td>141.46</td>\n",
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       "    <tr>\n",
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       "      <td>41ce2a54c0b03bf3443c3d931a367089</td>\n",
       "      <td>2018-08-08 08:38:49</td>\n",
       "      <td>aa4383b373c6aca5d8797843e5594415</td>\n",
       "      <td>159.90</td>\n",
       "      <td>19.22</td>\n",
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       "      <td>GO</td>\n",
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       "                           order_id                       customer_id  \\\n",
       "0  e481f51cbdc54678b7cc49136f2d6af7  9ef432eb6251297304e76186b10a928d   \n",
       "1  e481f51cbdc54678b7cc49136f2d6af7  9ef432eb6251297304e76186b10a928d   \n",
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       "\n",
       "  order_purchase_timestamp                        product_id   price  \\\n",
       "0      2017-10-02 10:56:33  87285b34884572647811a353c7ac498a   29.99   \n",
       "1      2017-10-02 10:56:33  87285b34884572647811a353c7ac498a   29.99   \n",
       "2      2017-10-02 10:56:33  87285b34884572647811a353c7ac498a   29.99   \n",
       "3      2018-07-24 20:41:37  595fac2a385ac33a80bd5114aec74eb8  118.70   \n",
       "4      2018-08-08 08:38:49  aa4383b373c6aca5d8797843e5594415  159.90   \n",
       "\n",
       "   freight_value                customer_unique_id customer_state  \\\n",
       "0           8.72  7c396fd4830fd04220f754e42b4e5bff             SP   \n",
       "1           8.72  7c396fd4830fd04220f754e42b4e5bff             SP   \n",
       "2           8.72  7c396fd4830fd04220f754e42b4e5bff             SP   \n",
       "3          22.76  af07308b275d755c9edb36a90c618231             BA   \n",
       "4          19.22  3a653a41f6f9fc3d2a113cf8398680e8             GO   \n",
       "\n",
       "   payment_value payment_type  \n",
       "0          18.12  credit_card  \n",
       "1           2.00      voucher  \n",
       "2          18.59      voucher  \n",
       "3         141.46       boleto  \n",
       "4         179.12  credit_card  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 仅保留关键字段以减少数据量 / Select only key fields to reduce size\n",
    "orders = orders[['order_id', 'customer_id', 'order_purchase_timestamp']]\n",
    "order_items = order_items[['order_id', 'product_id', 'price', 'freight_value']]\n",
    "payments = payments[['order_id', 'payment_value', 'payment_type']]\n",
    "customers = customers[['customer_id', 'customer_unique_id', 'customer_state']]\n",
    "\n",
    "# 合并订单与商品明细 / Merge orders and order items\n",
    "df = orders.merge(order_items, on='order_id', how='left')\n",
    "# 合并客户信息 / Merge customer info\n",
    "df = df.merge(customers, on='customer_id', how='left')\n",
    "# 合并支付明细 / Merge payment info\n",
    "df = df.merge(payments, on='order_id', how='left')\n",
    "\n",
    "# 检查合并结果 / Check the merged dataframe\n",
    "print(f\"合并后数据维度: {df.shape}\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b0169cc",
   "metadata": {
    "papermill": {
     "duration": 0.010901,
     "end_time": "2025-07-10T21:57:01.389847",
     "exception": false,
     "start_time": "2025-07-10T21:57:01.378946",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 1.3 确定基准日期（数据集中最新交易日） / Determine reference date (latest transaction date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "93ac588f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:01.413889Z",
     "iopub.status.busy": "2025-07-10T21:57:01.413107Z",
     "iopub.status.idle": "2025-07-10T21:57:01.457677Z",
     "shell.execute_reply": "2025-07-10T21:57:01.456805Z"
    },
    "papermill": {
     "duration": 0.058131,
     "end_time": "2025-07-10T21:57:01.459165",
     "exception": false,
     "start_time": "2025-07-10T21:57:01.401034",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "基准日期: 2018-10-17 17:30:18\n"
     ]
    }
   ],
   "source": [
    "# 转换为 datetime / Convert column to datetime\n",
    "df['order_purchase_timestamp'] = pd.to_datetime(df['order_purchase_timestamp'])\n",
    "# 计算基准日期 / Compute reference date\n",
    "reference_date = df['order_purchase_timestamp'].max()\n",
    "print(f\"基准日期: {reference_date}\")  # Reference date"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9e83039",
   "metadata": {
    "papermill": {
     "duration": 0.010695,
     "end_time": "2025-07-10T21:57:01.481299",
     "exception": false,
     "start_time": "2025-07-10T21:57:01.470604",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 2. RFM 特征工程 / RFM Feature Engineering"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1688e743",
   "metadata": {
    "papermill": {
     "duration": 0.010737,
     "end_time": "2025-07-10T21:57:01.503129",
     "exception": false,
     "start_time": "2025-07-10T21:57:01.492392",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.1 以 `customer_unique_id` 为粒度计算\n",
    "Calculate based on the `customer_unique_id` granularity:\n",
    "\n",
    "* **R** = 基准日 − 最近购买日 (天)\n",
    "\n",
    "  R (Recency)** = Reference date − Most recent purchase date (in days)\n",
    "  \n",
    "* **F** = 订单数\n",
    "\n",
    "  F (Frequency)** = Number of orders\n",
    "  \n",
    "* **M** = 累计付款金额\n",
    "\n",
    "  M (Monetary)** = Total payment amount"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7ad2efcf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:01.526797Z",
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     "iopub.status.idle": "2025-07-10T21:57:10.466930Z",
     "shell.execute_reply": "2025-07-10T21:57:10.466032Z"
    },
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     "end_time": "2025-07-10T21:57:10.468636",
     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 1) 每单总付款 / Total payment per order\n",
    "order_pay = payments.groupby('order_id')['payment_value'] \\\n",
    "                    .sum() \\\n",
    "                    .reset_index(name='order_total_value')\n",
    "\n",
    "# 2) 将总付款与订单表合并，获得 customer_id 和 下单时间 / Merge with orders to get customer_id and purchase timestamp\n",
    "orders_pay = orders.merge(order_pay, on='order_id', how='left')\n",
    "\n",
    "# 3) 引入 customer_unique_id / Bring in unique customer identifier\n",
    "orders_pay = orders_pay.merge(\n",
    "    customers[['customer_id','customer_unique_id']],\n",
    "    on='customer_id',\n",
    "    how='left'\n",
    ")\n",
    "\n",
    "# 4) 转为 datetime 格式 / Convert to datetime\n",
    "orders_pay['order_purchase_timestamp'] = pd.to_datetime(orders_pay['order_purchase_timestamp'])\n",
    "\n",
    "# 5) 计算 R, F, M / Calculate Recency, Frequency, Monetary\n",
    "rfm = orders_pay.groupby('customer_unique_id').agg(\n",
    "    R = ('order_purchase_timestamp', lambda x: (reference_date - x.max()).days),  # 近期度 / Recency\n",
    "    F = ('order_id', 'nunique'),  # 频次 / Frequency\n",
    "    M = ('order_total_value', 'sum')  # 金额 / Monetary\n",
    ").reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ea4f90b",
   "metadata": {
    "papermill": {
     "duration": 0.01066,
     "end_time": "2025-07-10T21:57:10.490594",
     "exception": false,
     "start_time": "2025-07-10T21:57:10.479934",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.2 同时保留原值与 z-score（供后续聚类） / Keep raw values and z-scores for clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "798dea67",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:10.514139Z",
     "iopub.status.busy": "2025-07-10T21:57:10.513848Z",
     "iopub.status.idle": "2025-07-10T21:57:10.573913Z",
     "shell.execute_reply": "2025-07-10T21:57:10.573196Z"
    },
    "papermill": {
     "duration": 0.073708,
     "end_time": "2025-07-10T21:57:10.575460",
     "exception": false,
     "start_time": "2025-07-10T21:57:10.501752",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_unique_id</th>\n",
       "      <th>R</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>R_z</th>\n",
       "      <th>F_z</th>\n",
       "      <th>M_z</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>-0.162368</td>\n",
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       "      <td>-0.162368</td>\n",
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       "      <td>86.22</td>\n",
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       "      <td>-0.162368</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>1</td>\n",
       "      <td>43.62</td>\n",
       "      <td>0.529706</td>\n",
       "      <td>-0.162368</td>\n",
       "      <td>-0.531366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0004aac84e0df4da2b147fca70cf8255</td>\n",
       "      <td>336</td>\n",
       "      <td>1</td>\n",
       "      <td>196.89</td>\n",
       "      <td>0.314602</td>\n",
       "      <td>-0.162368</td>\n",
       "      <td>0.130916</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 customer_unique_id    R  F       M       R_z       F_z  \\\n",
       "0  0000366f3b9a7992bf8c76cfdf3221e2  160  1  141.90 -0.832621 -0.162368   \n",
       "1  0000b849f77a49e4a4ce2b2a4ca5be3f  163  1   27.19 -0.813067 -0.162368   \n",
       "2  0000f46a3911fa3c0805444483337064  585  1   86.22  1.937662 -0.162368   \n",
       "3  0000f6ccb0745a6a4b88665a16c9f078  369  1   43.62  0.529706 -0.162368   \n",
       "4  0004aac84e0df4da2b147fca70cf8255  336  1  196.89  0.314602 -0.162368   \n",
       "\n",
       "        M_z  \n",
       "0 -0.106697  \n",
       "1 -0.602360  \n",
       "2 -0.347291  \n",
       "3 -0.531366  \n",
       "4  0.130916  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 原始 RFM 值 / Raw RFM\n",
    "rfm_raw = rfm[['customer_unique_id','R','F','M']].copy()\n",
    "\n",
    "# 计算 z-score / Compute z-scores\n",
    "scaler = StandardScaler()\n",
    "rfm[['R_z','F_z','M_z']] = scaler.fit_transform(rfm[['R','F','M']])\n",
    "rfm.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6343aee3",
   "metadata": {
    "papermill": {
     "duration": 0.011026,
     "end_time": "2025-07-10T21:57:10.598355",
     "exception": false,
     "start_time": "2025-07-10T21:57:10.587329",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 3. RFM 实现用户分群（可解释性） / RFM for Customer Segmentation (Interpretability)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6f8c5d5",
   "metadata": {
    "papermill": {
     "duration": 0.011077,
     "end_time": "2025-07-10T21:57:10.620966",
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     "start_time": "2025-07-10T21:57:10.609889",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.1 以 R/F/M 的中位数做高/低二分 / Binary segmentation based on median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0ae158b3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:10.644802Z",
     "iopub.status.busy": "2025-07-10T21:57:10.644414Z",
     "iopub.status.idle": "2025-07-10T21:57:10.657084Z",
     "shell.execute_reply": "2025-07-10T21:57:10.656158Z"
    },
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     "duration": 0.026677,
     "end_time": "2025-07-10T21:57:10.658797",
     "exception": false,
     "start_time": "2025-07-10T21:57:10.632120",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 计算 R, F, M 的中位数 / Compute median of R, F, M\n",
    "r_med = rfm['R'].median()\n",
    "f_med = rfm['F'].median()\n",
    "m_med = rfm['M'].median()\n",
    "\n",
    "# 生成二元变量 / Create binary flags:\n",
    "# R_seg = 1 表示最近购买（R <= median）；F_seg, M_seg = 1 表示高频/高金额（> median）\n",
    "rfm['R_seg'] = (rfm['R'] <= r_med).astype(int)\n",
    "rfm['F_seg'] = (rfm['F'] >  f_med).astype(int)\n",
    "rfm['M_seg'] = (rfm['M'] >  m_med).astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cada056c",
   "metadata": {
    "papermill": {
     "duration": 0.011089,
     "end_time": "2025-07-10T21:57:10.681632",
     "exception": false,
     "start_time": "2025-07-10T21:57:10.670543",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.2 生成 $2^3 = 8$ 个组合并映射成业务标签 / Generate 8 combinations and map to business labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c040253f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:10.706462Z",
     "iopub.status.busy": "2025-07-10T21:57:10.705518Z",
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    },
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     "exception": false,
     "start_time": "2025-07-10T21:57:10.693141",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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       "      <th>customer_unique_id</th>\n",
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       "      <th>RFM_label</th>\n",
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       "  <tbody>\n",
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       "      <td>0</td>\n",
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       "      <td>101</td>\n",
       "      <td>重要发展客户</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0000f46a3911fa3c0805444483337064</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>000</td>\n",
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       "      <td>0</td>\n",
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       "      <th>4</th>\n",
       "      <td>0004aac84e0df4da2b147fca70cf8255</td>\n",
       "      <td>336</td>\n",
       "      <td>1</td>\n",
       "      <td>196.89</td>\n",
       "      <td>0.314602</td>\n",
       "      <td>-0.162368</td>\n",
       "      <td>0.130916</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>001</td>\n",
       "      <td>重要挽留客户</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 customer_unique_id    R  F       M       R_z       F_z  \\\n",
       "0  0000366f3b9a7992bf8c76cfdf3221e2  160  1  141.90 -0.832621 -0.162368   \n",
       "1  0000b849f77a49e4a4ce2b2a4ca5be3f  163  1   27.19 -0.813067 -0.162368   \n",
       "2  0000f46a3911fa3c0805444483337064  585  1   86.22  1.937662 -0.162368   \n",
       "3  0000f6ccb0745a6a4b88665a16c9f078  369  1   43.62  0.529706 -0.162368   \n",
       "4  0004aac84e0df4da2b147fca70cf8255  336  1  196.89  0.314602 -0.162368   \n",
       "\n",
       "        M_z  R_seg  F_seg  M_seg RFM_segment RFM_label  \n",
       "0 -0.106697      1      0      1         101    重要发展客户  \n",
       "1 -0.602360      1      0      0         100    一般发展客户  \n",
       "2 -0.347291      0      0      0         000    一般挽留客户  \n",
       "3 -0.531366      0      0      0         000    一般挽留客户  \n",
       "4  0.130916      0      0      1         001    重要挽留客户  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 合并三位二进制为代码 / Combine bits into a 3-digit code\n",
    "rfm['RFM_segment'] = (\n",
    "    rfm['R_seg'].astype(str) +\n",
    "    rfm['F_seg'].astype(str) +\n",
    "    rfm['M_seg'].astype(str)\n",
    ")\n",
    "\n",
    "# 定义业务标签映射 / Define mapping to business labels\n",
    "label_map = {\n",
    "    '000': '一般挽留客户',\n",
    "    '001': '重要挽留客户',\n",
    "    '010': '一般保持客户',\n",
    "    '011': '重要保持客户',\n",
    "    '100': '一般发展客户',\n",
    "    '101': '重要发展客户',\n",
    "    '110': '一般价值客户',\n",
    "    '111': '重要价值客户'\n",
    "}\n",
    "\n",
    "\n",
    "# 应用映射 / Map codes to labels\n",
    "rfm['RFM_label'] = rfm['RFM_segment'].map(label_map)\n",
    "rfm.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d170643e",
   "metadata": {
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     "duration": 0.011286,
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   "source": [
    "* **000：一般挽留客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较久（Recency > 中位数）\n",
    "    * 购买频次低（Frequency ≤ 中位数）\n",
    "    * 累计消费金额低（Monetary ≤ 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 发送短信/邮件低成本优惠券，引导回购\n",
    "    * 推荐畅销低价爆款，降低首次复购门槛\n",
    "    * 利用节日或会员日专属折扣激活购买意愿\n",
    "\n",
    "\n",
    "* **001：重要挽留客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较久（Recency > 中位数）\n",
    "    * 购买频次低（Frequency ≤ 中位数）\n",
    "    * 累计消费金额高（Monetary > 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 一对一定制化关怀短信或客服电话\n",
    "    * 发放大额优惠券或免运费券\n",
    "    * 个性化产品推荐，重点推高客单价品类\n",
    "\n",
    "\n",
    "* **010：一般保持客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较久（Recency > 中位数）\n",
    "    * 购买频次高（Frequency > 中位数）\n",
    "    * 累计消费金额低（Monetary ≤ 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 推出品类捆绑/满减活动，提高客单价\n",
    "    * 推荐同系列或配套商品，增加客单组合\n",
    "    * 定期小额奖励券，保持复购热度\n",
    "\n",
    "\n",
    "* **011：重要保持客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较久（Recency > 中位数）\n",
    "    * 购买频次高（Frequency > 中位数）\n",
    "    * 累计消费金额高（Monetary > 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 邀请加入会员俱乐部，积分激励机制\n",
    "    * 专属新品预购或限量发售邀请\n",
    "    * 定期高级折扣/换购活动，强化忠诚度\n",
    "\n",
    "\n",
    "* **100：一般发展客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较近（Recency ≤ 中位数）\n",
    "    * 购买频次低（Frequency ≤ 中位数）\n",
    "    * 累计消费金额低（Monetary ≤ 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 首单优惠券或欢迎礼包，引导二次购买\n",
    "    * 新客专属品类体验券，促进多品类试用\n",
    "    * 社交分享奖励，拉动新用户增长\n",
    "\n",
    "\n",
    "* **101：重要发展客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较近（Recency ≤ 中位数）\n",
    "    * 购买频次低（Frequency ≤ 中位数）\n",
    "    * 累计消费金额高（Monetary > 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 大额套餐/礼盒推荐，提升复购金额\n",
    "    * 交叉销售高毛利品类，增加客单深度\n",
    "    * 个性化一对一推荐，强化高价值认同\n",
    "\n",
    "\n",
    "* **110：一般价值客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较近（Recency ≤ 中位数）\n",
    "    * 购买频次高（Frequency > 中位数）\n",
    "    * 累计消费金额低（Monetary ≤ 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 推出订阅/补货提醒服务，提高复购黏性\n",
    "    * 小额忠诚度奖励券，激励连续下单\n",
    "    * 定期主题活动，增加互动和购买频率\n",
    "\n",
    "\n",
    "* **111：重要价值客户**\n",
    "\n",
    "  * **用户画像**：\n",
    "\n",
    "    * 最近购买时间较近（Recency ≤ 中位数）\n",
    "    * 购买频次高（Frequency > 中位数）\n",
    "    * 累计消费金额高（Monetary > 中位数）\n",
    "  * **精细化运营措施**：\n",
    "\n",
    "    * 定制化顶级 VIP 服务，专属客服支持\n",
    "    * 生日/周年日礼遇及专属折扣\n",
    "    * 邀请参加新品内测或线下体验活动\n",
    "\n",
    "---\n",
    "\n",
    "* **000: General Retention Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "\n",
    "      * Long time since last purchase (Recency > median)\n",
    "      * Low purchase frequency (Frequency ≤ median)\n",
    "      * Low total spending (Monetary ≤ median)\n",
    "\n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Send low-cost coupons via SMS/email to encourage repurchase\n",
    "      * Recommend popular low-priced items to lower the repurchase barrier\n",
    "      * Activate purchase intent with exclusive holiday or member-day discounts\n",
    "\n",
    "\n",
    "* **001: High-Value At-Risk Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Long time since last purchase (Recency > median)\n",
    "      * Low purchase frequency (Frequency ≤ median)\n",
    "      * High total spending (Monetary > median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * One-on-one personalized care via SMS or phone calls\n",
    "      * Offer high-value coupons or free shipping vouchers\n",
    "      * Recommend personalized products, especially high-ticket categories\n",
    "\n",
    "\n",
    "* **010: General Retention Customers (High Frequency)**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Long time since last purchase (Recency > median)\n",
    "      * High purchase frequency (Frequency > median)\n",
    "      * Low total spending (Monetary ≤ median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Launch bundle or threshold-based discounts to raise average order value\n",
    "      * Recommend similar or complementary items to increase order combinations\n",
    "      * Use small-value periodic coupons to maintain repurchase momentum\n",
    "\n",
    "\n",
    "* **011: High-Value Retention Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Long time since last purchase (Recency > median)\n",
    "      * High purchase frequency (Frequency > median)\n",
    "      * High total spending (Monetary > median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Invite to join membership clubs with points-based rewards\n",
    "      * Offer early access to new products or limited-edition releases\n",
    "      * Launch premium discount or exchange programs to boost loyalty\n",
    "\n",
    "\n",
    "* **100: General Development Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Recent purchase (Recency ≤ median)\n",
    "      * Low purchase frequency (Frequency ≤ median)\n",
    "      * Low total spending (Monetary ≤ median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Use first-order coupons or welcome packages to prompt a second purchase\n",
    "      * Provide exclusive trial vouchers for new customers across multiple categories\n",
    "      * Offer social sharing rewards to drive user referrals\n",
    "\n",
    "\n",
    "* **101: High-Value New Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Recent purchase (Recency ≤ median)\n",
    "      * Low purchase frequency (Frequency ≤ median)\n",
    "      * High total spending (Monetary > median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Recommend high-value bundles or gift boxes to increase order size\n",
    "      * Cross-sell high-margin categories to deepen purchase value\n",
    "      * Deliver personalized one-on-one recommendations to reinforce high-value perception\n",
    "\n",
    "\n",
    "* **110: General Value Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Recent purchase (Recency ≤ median)\n",
    "      * High purchase frequency (Frequency > median)\n",
    "      * Low total spending (Monetary ≤ median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Offer subscription or restock reminder services to enhance retention\n",
    "      * Use small loyalty coupons to encourage continued ordering\n",
    "      * Launch regular themed campaigns to drive interaction and purchase frequency\n",
    "\n",
    "\n",
    "* **111: Top Value Customers**\n",
    "\n",
    "    * **User Profile**:\n",
    "    \n",
    "      * Recent purchase (Recency ≤ median)\n",
    "      * High purchase frequency (Frequency > median)\n",
    "      * High total spending (Monetary > median)\n",
    "    \n",
    "    * **Refined Operational Strategies**:\n",
    "    \n",
    "      * Provide exclusive VIP services and dedicated customer support\n",
    "      * Offer birthday or anniversary gifts and personalized discounts\n",
    "      * Invite to product beta tests or in-person experience events"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f00f86a",
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   },
   "source": [
    "### 3.3 输出各段人数、GMV 占比 / Output segment counts and GMV proportion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f8c8f500",
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    },
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RFM_segment</th>\n",
       "      <th>RFM_label</th>\n",
       "      <th>customer_count</th>\n",
       "      <th>total_M</th>\n",
       "      <th>GMV_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000</td>\n",
       "      <td>一般挽留客户</td>\n",
       "      <td>24340</td>\n",
       "      <td>1557983.07</td>\n",
       "      <td>0.097320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>001</td>\n",
       "      <td>重要挽留客户</td>\n",
       "      <td>22338</td>\n",
       "      <td>5970631.55</td>\n",
       "      <td>0.372958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>010</td>\n",
       "      <td>一般保持客户</td>\n",
       "      <td>178</td>\n",
       "      <td>14726.39</td>\n",
       "      <td>0.000920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>011</td>\n",
       "      <td>重要保持客户</td>\n",
       "      <td>1165</td>\n",
       "      <td>398160.10</td>\n",
       "      <td>0.024871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>一般发展客户</td>\n",
       "      <td>23360</td>\n",
       "      <td>1474883.81</td>\n",
       "      <td>0.092129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>101</td>\n",
       "      <td>重要发展客户</td>\n",
       "      <td>23061</td>\n",
       "      <td>6061350.98</td>\n",
       "      <td>0.378624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>110</td>\n",
       "      <td>一般价值客户</td>\n",
       "      <td>185</td>\n",
       "      <td>15160.60</td>\n",
       "      <td>0.000947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>111</td>\n",
       "      <td>重要价值客户</td>\n",
       "      <td>1469</td>\n",
       "      <td>515975.62</td>\n",
       "      <td>0.032231</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  RFM_segment RFM_label  customer_count     total_M   GMV_pct\n",
       "0         000    一般挽留客户           24340  1557983.07  0.097320\n",
       "1         001    重要挽留客户           22338  5970631.55  0.372958\n",
       "2         010    一般保持客户             178    14726.39  0.000920\n",
       "3         011    重要保持客户            1165   398160.10  0.024871\n",
       "4         100    一般发展客户           23360  1474883.81  0.092129\n",
       "5         101    重要发展客户           23061  6061350.98  0.378624\n",
       "6         110    一般价值客户             185    15160.60  0.000947\n",
       "7         111    重要价值客户            1469   515975.62  0.032231"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "segment_stats = (\n",
    "    rfm\n",
    "    .groupby(['RFM_segment', 'RFM_label'])\n",
    "    .agg(\n",
    "        customer_count=('customer_unique_id','count'),\n",
    "        total_M=('M','sum')\n",
    "    )\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# 计算 GMV 占比 / Compute GMV percentage\n",
    "segment_stats['GMV_pct'] = segment_stats['total_M'] / segment_stats['total_M'].sum()\n",
    "\n",
    "# 按 RFM_segment 排序查看 / Preview sorted by segment code\n",
    "segment_stats.sort_values('RFM_segment')"
   ]
  },
  {
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    {
     "data": {
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      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化各分段人数与GMV占比 / Visualize the number of customers and GMV percentage by segment\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n",
    "\n",
    "# 左图：客户数量 / Left plot: Number of customers\n",
    "axes[0].bar(segment_stats['RFM_segment'], segment_stats['customer_count'])\n",
    "axes[0].set_title('Customer Count by RFM Segment')\n",
    "axes[0].set_xlabel('RFM Segment')\n",
    "axes[0].set_ylabel('Number of Customers')\n",
    "\n",
    "# 右图：GMV 占比 / Right plot: GMV percentage\n",
    "axes[1].bar(segment_stats['RFM_segment'], segment_stats['GMV_pct'])\n",
    "axes[1].set_title('GMV Percentage by RFM Segment')\n",
    "axes[1].set_xlabel('RFM Segment')\n",
    "axes[1].set_ylabel('GMV Percentage')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "172b5626",
   "metadata": {
    "papermill": {
     "duration": 0.012216,
     "end_time": "2025-07-10T21:57:11.502756",
     "exception": false,
     "start_time": "2025-07-10T21:57:11.490540",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "根据前述分段统计结果，我们可以得出：\n",
    "\n",
    "1. **高价值拉新 & 挽留最关键**\n",
    "\n",
    "   * `101`（重要发展客户）和 `001`（重要挽留客户）共计约 $45400$ 人，贡献了约 $75\\%$ 的 GMV，远超其他任何分群。\n",
    "   \n",
    "   * **措施聚焦**：\n",
    "\n",
    "     * 对新高价值（101）群体，迅速执行交叉与补购推荐，增加复购深度。\n",
    "     * 对高价值流失（001）群体，实施一对一定制化挽留，以防核心收入流失。\n",
    "\n",
    "2. **大规模普通群体潜力待挖掘**\n",
    "\n",
    "   * `000` 与 `100` 两类大体量低频低额群体（共约 $47700$ 人）各自仅贡献 $9–10\\%$ GMV。\n",
    "   \n",
    "   * **措施聚焦**：\n",
    "\n",
    "     * 普通挽留（000）提供基础唤回激励；\n",
    "     * 新客发展（100）可通过欢迎礼包等方式提升首次后续转化。\n",
    "\n",
    "3. **极小群体可整合或重点测试**\n",
    "\n",
    "   * `010`、`110` 等小规模群体 ($< 200$ 人) 与 `011`、`111` ($< 1500$ 人) 可与相邻群体合并运营，或针对性进行小规模试点，不宜大规模投入资源。\n",
    "  \n",
    "---\n",
    "\n",
    "Based on the segmented statistical results above, we can draw the following conclusions:\n",
    "\n",
    "1. **High-Value Acquisition & Retention Are Most Critical**\n",
    "\n",
    "   * The segments `101` (High-Potential New Customers) and `001` (High-Value At-Risk Customers) together include approximately 45,400 users, contributing about $75\\%$ of total GMV — far surpassing any other segment.\n",
    "   * **Strategic Focus**:\n",
    "     * For high-value new customers (`101`): implement rapid cross-selling and replenishment recommendations to deepen repurchase behavior.\n",
    "     * For high-value churn-risk customers (`001`): apply personalized, one-on-one retention strategies to prevent the loss of core revenue streams.\n",
    "\n",
    "2. **Large-Scale Ordinary Segments Have Untapped Potential**\n",
    "\n",
    "   * Segments `000` and `100`, which represent low-frequency, low-spending user groups (totaling about 47,700 users), each contribute only $9–10\\%$ of GMV.\n",
    "     \n",
    "   * **Strategic Focus**:\n",
    "     * * For ordinary inactive users (`000`): provide basic reactivation incentives.\n",
    "     * For newly acquired but low-engagement users (`100`): consider welcome packages to boost follow-up conversion after their first order.\n",
    "\n",
    "3. **Very Small Segments Can Be Merged or Tested Selectively**\n",
    "\n",
    "   * Small-scale segments like `010` and `110` (each with $< 200$ users) and `011`, `111` (< 1,500 users) can either be merged with neighboring segments for broader campaigns or used in targeted pilot tests.\n",
    "     Large-scale resource investment is not recommended for these groups at this stage."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "120f2509",
   "metadata": {
    "papermill": {
     "duration": 0.012125,
     "end_time": "2025-07-10T21:57:11.527309",
     "exception": false,
     "start_time": "2025-07-10T21:57:11.515184",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "> **总结**：将有限的营销资源优先投放在高影响力的高价值新客（101）与高价值流失客（001）上，同时对大规模普通群体（000、100）通过标准化优惠进行批量激励，能最大化 GMV 提升与成本效率。\n",
    "\n",
    "---\n",
    "\n",
    "> **Summary**:\n",
    "> Prioritize limited marketing resources on high-impact segments — high-value new customers (`101`) and high-value at-risk customers (`001`).\n",
    "> At the same time, apply standardized incentives to large ordinary segments (`000`, `100`) to drive bulk engagement.\n",
    "> This approach maximizes GMV growth while maintaining cost efficiency."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "265abd8c",
   "metadata": {
    "papermill": {
     "duration": 0.0122,
     "end_time": "2025-07-10T21:57:11.552325",
     "exception": false,
     "start_time": "2025-07-10T21:57:11.540125",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 4. K-means 聚类实现用户分群 /  K-means Clustering for Customer Segmentation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fe219bc",
   "metadata": {
    "papermill": {
     "duration": 0.012232,
     "end_time": "2025-07-10T21:57:11.576962",
     "exception": false,
     "start_time": "2025-07-10T21:57:11.564730",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.1 试 K = 3…8 / Test K = 3…8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2a62c32a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T21:57:11.603579Z",
     "iopub.status.busy": "2025-07-10T21:57:11.602982Z",
     "iopub.status.idle": "2025-07-10T22:06:04.386617Z",
     "shell.execute_reply": "2025-07-10T22:06:04.385558Z"
    },
    "papermill": {
     "duration": 532.812524,
     "end_time": "2025-07-10T22:06:04.401916",
     "exception": false,
     "start_time": "2025-07-10T21:57:11.589392",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 取 R_z, F_z, M_z 作为特征 / Use standardized R, F, M\n",
    "X = rfm[['R_z','F_z','M_z']]\n",
    "\n",
    "inertia = []\n",
    "sil_scores = []\n",
    "\n",
    "for k in range(3, 9):\n",
    "    km = KMeans(n_clusters=k, random_state=42)\n",
    "    labels = km.fit_predict(X)\n",
    "    inertia.append(km.inertia_)\n",
    "    sil_scores.append(silhouette_score(X, labels))\n",
    "\n",
    "\n",
    "# 可视化 Elbow 曲线 & Silhouette 得分 / Visualize Elbow curve & Silhouette score\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12,4))\n",
    "\n",
    "# Elbow 曲线 / Elbow Plot\n",
    "axes[0].plot(range(3,9), inertia, marker='o')\n",
    "axes[0].set_title('Elbow Curve (Inertia)')\n",
    "axes[0].set_xlabel('Number of Clusters (K)')\n",
    "axes[0].set_ylabel('Inertia')\n",
    "\n",
    "# Silhouette 得分 / Silhouette Scores\n",
    "axes[1].plot(range(3,9), sil_scores, marker='o')\n",
    "axes[1].set_title('Silhouette Scores')\n",
    "axes[1].set_xlabel('Number of Clusters (K)')\n",
    "axes[1].set_ylabel('Silhouette Score')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2fe77a2",
   "metadata": {
    "papermill": {
     "duration": 0.014008,
     "end_time": "2025-07-10T22:06:04.430659",
     "exception": false,
     "start_time": "2025-07-10T22:06:04.416651",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "从 Elbow 曲线和 Silhouette 得分来看，K=4 是最佳选择：\n",
    "\n",
    "* **Elbow**：从 K=3 到 K=4 的惯性（Inertia）下降最显著，之后下降趋于平缓。\n",
    "* **Silhouette**：在 K=4 时得分最高，表明此时簇内紧密、簇间分离效果最好。\n",
    "\n",
    "---\n",
    "\n",
    "Based on the Elbow curve and Silhouette score, **K=4** is the optimal choice:\n",
    "\n",
    "* **Elbow**: The drop in inertia from K=3 to K=4 is the most significant, after which the decrease becomes more gradual.\n",
    "* **Silhouette**: The highest score is achieved at K=4, indicating the best balance of tight intra-cluster cohesion and clear inter-cluster separation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4703e352",
   "metadata": {
    "papermill": {
     "duration": 0.013858,
     "end_time": "2025-07-10T22:06:04.459578",
     "exception": false,
     "start_time": "2025-07-10T22:06:04.445720",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.2 选定最佳 K 并打簇编号标签 / Select best K and assign cluster labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5b276e31",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:04.489752Z",
     "iopub.status.busy": "2025-07-10T22:06:04.489042Z",
     "iopub.status.idle": "2025-07-10T22:06:04.872100Z",
     "shell.execute_reply": "2025-07-10T22:06:04.871266Z"
    },
    "papermill": {
     "duration": 0.40014,
     "end_time": "2025-07-10T22:06:04.873955",
     "exception": false,
     "start_time": "2025-07-10T22:06:04.473815",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n"
     ]
    }
   ],
   "source": [
    "best_k = 4\n",
    "kmeans = KMeans(n_clusters=best_k, random_state=42)\n",
    "rfm['cluster'] = kmeans.fit_predict(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c616628",
   "metadata": {
    "papermill": {
     "duration": 0.013663,
     "end_time": "2025-07-10T22:06:04.902179",
     "exception": false,
     "start_time": "2025-07-10T22:06:04.888516",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.3 不平衡处理 / Handle Imbalance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "96f9280e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:04.932431Z",
     "iopub.status.busy": "2025-07-10T22:06:04.931734Z",
     "iopub.status.idle": "2025-07-10T22:06:04.942969Z",
     "shell.execute_reply": "2025-07-10T22:06:04.942034Z"
    },
    "papermill": {
     "duration": 0.027657,
     "end_time": "2025-07-10T22:06:04.944275",
     "exception": false,
     "start_time": "2025-07-10T22:06:04.916618",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cluster\n",
      "0    38656\n",
      "1    52056\n",
      "2     2962\n",
      "3     2422\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# 记录每簇样本量 / Check cluster sizes\n",
    "cluster_counts = rfm['cluster'].value_counts().sort_index()\n",
    "print(cluster_counts)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15e00c51",
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     "status": "completed"
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   "source": [
    "而簇 0 和 1 加起来超过 90%，属于明显的类别不平衡。如果后续要用这个标签做监督学习，直接训练很可能会偏向多数类，导致模型对小簇预测效果不佳。可以通过在监督学习时（如 LightGBM、XGBoost、sklearn 的 GBM）设置 `class_weight='balanced'` 来缓解。\n",
    "\n",
    "---\n",
    "\n",
    "Clusters 0 and 1 together account for over 90% of the data, indicating a clear class imbalance. If this clustering label is later used for supervised learning, training directly on the raw labels may lead to the model being biased toward the majority classes, resulting in poor performance on the smaller clusters.\n",
    "\n",
    "To mitigate this, you can set `class_weight='balanced'` when using supervised learning models such as LightGBM, XGBoost, or sklearn's Gradient Boosting to help the model better handle the imbalance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f64006d5",
   "metadata": {
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     "duration": 0.014314,
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     "exception": false,
     "start_time": "2025-07-10T22:06:04.986994",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.4 簇画像解释 / Cluster Profiling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3b37737f",
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    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cluster</th>\n",
       "      <th>R</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>order_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>437.812086</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>134.923163</td>\n",
       "      <td>134.923163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>177.361668</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>135.164795</td>\n",
       "      <td>135.164795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>268.306212</td>\n",
       "      <td>2.116475</td>\n",
       "      <td>290.305945</td>\n",
       "      <td>136.983130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>288.490091</td>\n",
       "      <td>1.015690</td>\n",
       "      <td>1196.225244</td>\n",
       "      <td>1177.718060</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   cluster           R         F            M  order_value\n",
       "0        0  437.812086  1.000000   134.923163   134.923163\n",
       "1        1  177.361668  1.000000   135.164795   135.164795\n",
       "2        2  268.306212  2.116475   290.305945   136.983130\n",
       "3        3  288.490091  1.015690  1196.225244  1177.718060"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 计算每簇的均值 / Compute cluster means for R, F, M\n",
    "profile = rfm.groupby('cluster')[['R','F','M']].mean().reset_index()\n",
    "\n",
    "# 如有其他业务补充指标，也可一并计算\n",
    "# 例如：客单价 = M / F\n",
    "rfm['order_value'] = rfm['M'] / rfm['F']\n",
    "profile_ext = rfm.groupby('cluster')[['R','F','M','order_value']].mean().reset_index()\n",
    "profile_ext"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "**解读**：\n",
    "\n",
    "* **簇 0**（`cluster=0`）\n",
    "\n",
    "  * **R≈438 天**：距离最后一次购买非常久，用户已经基本流失\n",
    "  * **F=1 笔订单**：单次购买用户\n",
    "  * **M≈135 元**：单次客单价较低\n",
    "  * **画像**：典型一次性、低客单价且流失的用户\n",
    "  * **建议**：大规模泛化唤回（如低门槛优惠券）\n",
    "\n",
    "* **簇 1**（`cluster=1`）\n",
    "\n",
    "  * **R≈177 天**：半年左右未复购，尚在流失边缘\n",
    "  * **F=1 笔订单**：依然是单次购买\n",
    "  * **M≈135 元**：客单价与簇 0 相仿\n",
    "  * **画像**：新近购买过一次但未复购的低价值新客\n",
    "  * **建议**：首单后激励（如二次购买优惠券）\n",
    "\n",
    "* **簇 2**（`cluster=2`）\n",
    "\n",
    "  * **R≈268 天**：较长时间未复购\n",
    "  * **F≈2.1 笔订单**：有过多于一次的复购\n",
    "  * **M≈290 元**：总体消费水平中等\n",
    "  * **画像**：偶尔复购的中等价值用户\n",
    "  * **建议**：提升粘性（如套餐/捆绑优惠）\n",
    "\n",
    "* **簇 3**（`cluster=3`）\n",
    "\n",
    "  * **R≈288 天**：较久未复购，但并非特别流失\n",
    "  * **F≈1 笔订单**：主要也是单次交易\n",
    "  * **M≈1,196 元**：一次性大额消费\n",
    "  * **画像**：高客单大额一次性购买者\n",
    "  * **建议**：高端定制关怀（如 VIP 专属推荐、会员服务）\n",
    "\n",
    "---\n",
    "\n",
    "**Interpretation**:\n",
    "\n",
    "* **Cluster 0** (`cluster = 0`)\n",
    "\n",
    "  * **R ≈ 438 days**: Very long since the last purchase — user is essentially lost\n",
    "  * **F = 1 order**: One-time buyer\n",
    "  * **M ≈ ¥135**: Low order value\n",
    "  * **Profile**: A typical one-time, low-spending, and churned customer\n",
    "  * **Recommendation**: Broad recall campaigns (e.g., low-barrier coupons)\n",
    "\n",
    "* **Cluster 1** (`cluster = 1`)\n",
    "\n",
    "  * **R ≈ 177 days**: No repeat purchase for about half a year — on the verge of churn\n",
    "  * **F = 1 order**: Still a one-time buyer\n",
    "  * **M ≈ ¥135**: Similar order value to Cluster 0\n",
    "  * **Profile**: Recently acquired, low-value customer who hasn't repurchased\n",
    "  * **Recommendation**: Post-first-purchase incentives (e.g., second-order discount)\n",
    "\n",
    "* **Cluster 2** (`cluster = 2`)\n",
    "\n",
    "  * **R ≈ 268 days**: Long time since last purchase\n",
    "  * **F ≈ 2.1 orders**: Has made repeat purchases\n",
    "  * **M ≈ ¥290**: Moderate overall spending\n",
    "  * **Profile**: Occasional repeat buyer with mid-level value\n",
    "  * **Recommendation**: Increase retention (e.g., bundle deals or combo offers)\n",
    "\n",
    "* **Cluster 3** (`cluster = 3`)\n",
    "\n",
    "  * **R ≈ 288 days**: Quite a while since the last purchase, but not fully churned\n",
    "  * **F ≈ 1 order**: Mostly single transaction\n",
    "  * **M ≈ ¥1,196**: High-value, one-time purchase\n",
    "  * **Profile**: Big spender with a one-off, high-ticket transaction\n",
    "  * **Recommendation**: Premium personalized care (e.g., VIP recommendations, membership services)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "359d1dc4",
   "metadata": {
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   },
   "source": [
    "## 5. 监督分类器 — 实时打标签 / Supervised Classifier for Real-time Labeling\n",
    "\n",
    "这里，我们使用 K-means 标签而非 RFM 八段标签来训练，因为：\n",
    "* **K-means**：4 类且最小簇样本量均在千以上，不至于过度不平衡，模型可稳定学习；\n",
    "* **RFM 八段**：8 类中少数类样本数 < 200，极度不平衡，难以训练出对少数类有效的模型。\n",
    "\n",
    "---\n",
    "\n",
    "Here, we use the K-means labels instead of the 8-segment RFM labels for training, because:\n",
    "\n",
    "* **K-means**: The 4 clusters each contain over 1,000 samples, avoiding severe class imbalance and allowing the model to learn stably.\n",
    "* **RFM 8-segment**: Several of the 8 classes have fewer than 200 samples, leading to extreme imbalance and making it difficult to train a model that performs well on the minority classes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9123ade",
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.1 特征集 / Feature Set\n",
    "* **基础特征 / Basic**: `R, F, M`\n",
    "* **补充特征 / Supplementary**:\n",
    "\n",
    "  * 客单价 `order_value`\n",
    "  * 品类多样度 `category_count`（每客户购买过的不同品类数）\n",
    "  * 地区 `customer_state`\n",
    "  * 支付方式 `payment_type`\n",
    "  * …（其他实时可得特征）\n",
    "\n",
    "---\n",
    "\n",
    "* **Basic Features**: `R`, `F`, `M`\n",
    "* **Supplementary Features**:\n",
    "\n",
    "  * **Order Value**: `order_value`\n",
    "  * **Category Diversity**: `category_count` (number of distinct product categories purchased by each customer)\n",
    "  * **Region**: `customer_state`\n",
    "  * **Payment Method**: `payment_type`\n",
    "  * … (other real-time accessible features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7c4245ed",
   "metadata": {
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   },
   "outputs": [],
   "source": [
    "products = pd.read_csv('/kaggle/input/brazilian-ecommerce/olist_products_dataset.csv')\n",
    "\n",
    "# ——— 1) 计算品类多样度：每客户购买过的不同品类数 / Category diversity per customer ———\n",
    "oi = order_items[['order_id', 'product_id']]\n",
    "oi = oi.merge(orders[['order_id', 'customer_id']], on='order_id', how='left')\n",
    "oi = oi.merge(customers[['customer_id', 'customer_unique_id']], on='customer_id', how='left')\n",
    "oi = oi.merge(products[['product_id', 'product_category_name']], on='product_id', how='left')\n",
    "category_count = (\n",
    "    oi\n",
    "    .groupby('customer_unique_id')['product_category_name']\n",
    "    .nunique()\n",
    "    .reset_index(name='category_count')\n",
    ")\n",
    "\n",
    "# ——— 2) 提取主要支付方式：每客户出现频次最高的 payment_type / Most common payment type per customer ———\n",
    "pay = payments[['order_id', 'payment_type']]\n",
    "pay = pay.merge(orders[['order_id', 'customer_id']], on='order_id', how='left')\n",
    "pay = pay.merge(customers[['customer_id', 'customer_unique_id']], on='customer_id', how='left')\n",
    "common_payment = (\n",
    "    pay\n",
    "    .groupby('customer_unique_id')['payment_type']\n",
    "    .agg(lambda x: x.mode()[0])\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# ——— 3) 区域特征：customer_state / Region feature ———\n",
    "region = customers[['customer_unique_id', 'customer_state']].drop_duplicates()\n",
    "\n",
    "# ——— 4) 合并所有特征到一个表 / Merge all features ———\n",
    "features = (\n",
    "    rfm[['customer_unique_id', 'R', 'F', 'M', 'order_value', 'cluster']]\n",
    "    .merge(category_count, on='customer_unique_id', how='left')\n",
    "    .merge(region, on='customer_unique_id', how='left')\n",
    "    .merge(common_payment, on='customer_unique_id', how='left')\n",
    ")\n",
    "\n",
    "# 缺失值处理 / Fill missing category_count with 0\n",
    "features['category_count'] = features['category_count'].fillna(0)\n",
    "\n",
    "# ——— 5) 构造 X 和 y / Define X and y ———\n",
    "X = features[['R', 'F', 'M', 'order_value', 'category_count', \n",
    "              'customer_state', 'payment_type']]\n",
    "y = features['cluster']\n",
    "\n",
    "# ——— 6) 对类别特征做独热编码 / One-hot encode categorical features ———\n",
    "X = pd.get_dummies(X, columns=['customer_state', 'payment_type'], drop_first=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24f6bed7",
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     "start_time": "2025-07-10T22:06:15.490759",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.2 训练-验证分层切分 / Stratified Train-Validation Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "37394271",
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "# 保持各簇比例 / Stratify by y\n",
    "X_train, X_val, y_train, y_val = train_test_split(\n",
    "    X, y,\n",
    "    test_size=0.2,\n",
    "    stratify=y,\n",
    "    random_state=42\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a4dca03",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.3 模型选择：LightGBM / Model Choice: LightGBM"
   ]
  },
  {
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   "execution_count": 22,
   "id": "3a033624",
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.005003 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 838\n",
      "[LightGBM] [Info] Number of data points in the train set: 76908, number of used features: 34\n",
      "[LightGBM] [Info] Start training from score -1.386294\n",
      "[LightGBM] [Info] Start training from score -1.386294\n",
      "[LightGBM] [Info] Start training from score -1.386294\n",
      "[LightGBM] [Info] Start training from score -1.386294\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "Training until validation scores don't improve for 50 rounds\n",
      "[100]\tvalid_0's multi_logloss: 0.00547272\n",
      "Early stopping, best iteration is:\n",
      "[133]\tvalid_0's multi_logloss: 0.00488653\n"
     ]
    },
    {
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       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LGBMClassifier(class_weight=&#x27;balanced&#x27;, learning_rate=0.05, n_estimators=1000,\n",
       "               num_class=4, objective=&#x27;multiclass&#x27;, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LGBMClassifier</label><div class=\"sk-toggleable__content\"><pre>LGBMClassifier(class_weight=&#x27;balanced&#x27;, learning_rate=0.05, n_estimators=1000,\n",
       "               num_class=4, objective=&#x27;multiclass&#x27;, random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LGBMClassifier(class_weight='balanced', learning_rate=0.05, n_estimators=1000,\n",
       "               num_class=4, objective='multiclass', random_state=42)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 模型参数设置 / Model Params Settings\n",
    "model = LGBMClassifier(\n",
    "    objective='multiclass',\n",
    "    num_class=y.nunique(),\n",
    "    class_weight='balanced',  # deal with imbalance problems\n",
    "    learning_rate=0.05,\n",
    "    num_leaves=31,\n",
    "    random_state=42,\n",
    "    n_estimators=1000\n",
    ")\n",
    "\n",
    "# 模型训练 / Model Training\n",
    "model.fit(\n",
    "    X_train,\n",
    "    y_train,\n",
    "    eval_set=[(X_val, y_val)],\n",
    "    eval_metric='None',  # we will use Macro F1 score from sklearn\n",
    "    callbacks=[\n",
    "        early_stopping(50),\n",
    "        log_evaluation(100)\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ca44167",
   "metadata": {
    "papermill": {
     "duration": 0.014528,
     "end_time": "2025-07-10T22:06:18.829743",
     "exception": false,
     "start_time": "2025-07-10T22:06:18.815215",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.4 评估指标：Macro F1 / Evaluation Metric: Macro F1\n",
    "> **为何选 Macro F1**：\n",
    ">\n",
    "> * 同时关注 Precision（精准率）与 Recall（召回率）；\n",
    "> * 对每个类别一视同仁，弱化多数类对整体分数的主导作用，适用于不平衡多分类。\n",
    "\n",
    "---\n",
    "\n",
    "> **Why choose Macro F1**:\n",
    ">\n",
    "> * It considers both Precision and Recall, providing a balanced evaluation of model performance.\n",
    "> * It treats all classes equally, reducing the dominance of majority classes in the overall score — making it well-suited for imbalanced multiclass classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2357fb48",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:18.860559Z",
     "iopub.status.busy": "2025-07-10T22:06:18.860212Z",
     "iopub.status.idle": "2025-07-10T22:06:19.050739Z",
     "shell.execute_reply": "2025-07-10T22:06:19.049787Z"
    },
    "papermill": {
     "duration": 0.207643,
     "end_time": "2025-07-10T22:06:19.052260",
     "exception": false,
     "start_time": "2025-07-10T22:06:18.844617",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Validation Macro F1: 0.9960\n",
      "Classification report:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00      7732\n",
      "           1       1.00      1.00      1.00     10412\n",
      "           2       1.00      1.00      1.00       600\n",
      "           3       0.99      0.99      0.99       484\n",
      "\n",
      "    accuracy                           1.00     19228\n",
      "   macro avg       1.00      1.00      1.00     19228\n",
      "weighted avg       1.00      1.00      1.00     19228\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Macro F1\n",
    "y_pred = model.predict(X_val)\n",
    "macro_f1 = f1_score(y_val, y_pred, average='macro')\n",
    "print(f\"Validation Macro F1: {macro_f1:.4f}\")\n",
    "\n",
    "# Classification report\n",
    "print('Classification report:')\n",
    "print(classification_report(y_val, y_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b0dd80c",
   "metadata": {
    "papermill": {
     "duration": 0.014215,
     "end_time": "2025-07-10T22:06:19.081306",
     "exception": false,
     "start_time": "2025-07-10T22:06:19.067091",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "这些结果几乎完美（Macro F1=0.9960），说明模型能非常精准地用给定特征复制 K-means 的分群。\n",
    "\n",
    "These results are nearly perfect (Macro F1 = 0.9960), indicating that the model can replicate the K-means clustering with high precision using the given features."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40719146",
   "metadata": {
    "papermill": {
     "duration": 0.014334,
     "end_time": "2025-07-10T22:06:19.110474",
     "exception": false,
     "start_time": "2025-07-10T22:06:19.096140",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.5 解释：特征重要性 & SHAP 摘要 / Interpretation: Feature Importance & SHAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "84e7c51c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:19.141596Z",
     "iopub.status.busy": "2025-07-10T22:06:19.141248Z",
     "iopub.status.idle": "2025-07-10T22:06:19.660415Z",
     "shell.execute_reply": "2025-07-10T22:06:19.659465Z"
    },
    "papermill": {
     "duration": 0.536996,
     "end_time": "2025-07-10T22:06:19.662598",
     "exception": false,
     "start_time": "2025-07-10T22:06:19.125602",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1) 特征重要性 / Feature Importance\n",
    "fi = pd.DataFrame({\n",
    "    'feature':    model.feature_name_,\n",
    "    'importance': model.feature_importances_\n",
    "}).sort_values('importance', ascending=False)\n",
    "\n",
    "# print(\"Feature Importances:\")\n",
    "# print(fi)\n",
    "\n",
    "# 可视化 / Visualization \n",
    "plt.figure(figsize=(8,6))\n",
    "plt.barh(fi['feature'], fi['importance'])\n",
    "plt.title('Feature Importance (LightGBM)')\n",
    "plt.xlabel('Importance')\n",
    "plt.gca().invert_yaxis()\n",
    "# plt.bar(fi['feature'], fi['importance'])\n",
    "# plt.ylabel('Importance')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "72d3f0d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:19.699187Z",
     "iopub.status.busy": "2025-07-10T22:06:19.698060Z",
     "iopub.status.idle": "2025-07-10T22:06:19.705297Z",
     "shell.execute_reply": "2025-07-10T22:06:19.704329Z"
    },
    "papermill": {
     "duration": 0.026779,
     "end_time": "2025-07-10T22:06:19.706985",
     "exception": false,
     "start_time": "2025-07-10T22:06:19.680206",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Feature Importances:\n",
      "                     feature  importance\n",
      "0                          R        6529\n",
      "2                          M        4291\n",
      "3                order_value        2802\n",
      "1                          F         635\n",
      "29         customer_state_SP         452\n",
      "31  payment_type_credit_card         250\n",
      "14         customer_state_MG         166\n",
      "22         customer_state_RJ         139\n",
      "21         customer_state_PR          92\n",
      "27         customer_state_SC          86\n",
      "26         customer_state_RS          59\n",
      "8          customer_state_BA          48\n",
      "12         customer_state_GO          48\n",
      "19         customer_state_PE          46\n",
      "4             category_count          43\n",
      "13         customer_state_MA          32\n",
      "15         customer_state_MS          29\n",
      "5          customer_state_AL          25\n",
      "11         customer_state_ES          25\n",
      "10         customer_state_DF          24\n",
      "28         customer_state_SE          23\n",
      "23         customer_state_RN          20\n",
      "18         customer_state_PB          20\n",
      "17         customer_state_PA          18\n",
      "20         customer_state_PI          15\n",
      "30         customer_state_TO           9\n",
      "34      payment_type_voucher           1\n",
      "24         customer_state_RO           0\n",
      "25         customer_state_RR           0\n",
      "16         customer_state_MT           0\n",
      "9          customer_state_CE           0\n",
      "7          customer_state_AP           0\n",
      "6          customer_state_AM           0\n",
      "32   payment_type_debit_card           0\n",
      "33  payment_type_not_defined           0\n"
     ]
    }
   ],
   "source": [
    "print(\"Feature Importances:\")\n",
    "print(fi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b6627c38",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:19.742076Z",
     "iopub.status.busy": "2025-07-10T22:06:19.741727Z",
     "iopub.status.idle": "2025-07-10T22:06:58.703331Z",
     "shell.execute_reply": "2025-07-10T22:06:58.702330Z"
    },
    "papermill": {
     "duration": 39.001009,
     "end_time": "2025-07-10T22:06:58.724914",
     "exception": false,
     "start_time": "2025-07-10T22:06:19.723905",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2) SHAP 分析 / SHAP Analysis\n",
    "# 创建解释器 / Create a SHAP explainer\n",
    "explainer = shap.TreeExplainer(model)\n",
    "\n",
    "# 计算验证集的 SHAP 值（list of arrays for each class）  \n",
    "shap_values = explainer.shap_values(X_val)\n",
    "\n",
    "# 2.1 全局摘要图（条形图）/ SHAP summary bar plot\n",
    "shap.summary_plot(shap_values, X_val, plot_type='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5278870f",
   "metadata": {
    "papermill": {
     "duration": 0.01811,
     "end_time": "2025-07-10T22:06:58.761725",
     "exception": false,
     "start_time": "2025-07-10T22:06:58.743615",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**综合结论：**\n",
    "\n",
    "* 从 LightGBM 原生特征重要性和 SHAP 平均绝对值排名来看，最近购买天数（R） 是最关键的分群依据，其次是累计消费金额（M），再其次是平均客单价（order\\_value）；购买频次（F） 的作用相对较小；地区（customer\\_state） 与支付方式（payment\\_type） 几乎不起决定性作用。\n",
    "\n",
    "**业务建议：**\n",
    "\n",
    "1. **基于“距离上次购买时间”触发**\n",
    "\n",
    "   * 设定阈值（如 180 天、365 天），对不同流失阶段客户推送精准激励优惠券或短信，及时唤回。\n",
    "2. **高价值客户差异化关怀**\n",
    "\n",
    "   * 对累计消费高、客单价大的用户（簇 3）提供 VIP 专属礼遇、限量折扣或新品优先体验。\n",
    "3. **提高复购与客单**\n",
    "\n",
    "   * 对消费次数高但单次金额低的客户（簇 2）推品类捆绑、满减套餐，提升客单深度和复购黏性。\n",
    "4. **常规群体标准化运营**\n",
    "\n",
    "   * 对一次性低频低额用户（簇 0/1）进行低成本唤回（基础优惠券、爆款推荐）；\n",
    "   * 地域与支付方式对策略效果影响有限，可作为次要维度进行辅助分层。\n",
    "\n",
    "---\n",
    "\n",
    "\n",
    "**Overall Conclusion**:\n",
    "\n",
    "* Based on both LightGBM’s native feature importance and SHAP average absolute values, **recency (R)** — the number of days since the last purchase — is the most critical factor for segmentation, followed by **monetary value (M)** and **average order value (`order_value`)**.\n",
    "  **Frequency (F)** plays a relatively smaller role, while **region (`customer_state`)** and **payment method (`payment_type`)** show minimal impact on clustering outcomes.\n",
    "\n",
    "**Business Recommendations**:\n",
    "\n",
    "1. **Trigger Actions Based on \"Time Since Last Purchase\"**\n",
    "\n",
    "   * Define recency thresholds (e.g., 180 days, 365 days) and push targeted incentives (coupons, SMS messages) to customers at different churn risk stages for timely reactivation.\n",
    "\n",
    "2. **Differentiated Care for High-Value Customers**\n",
    "\n",
    "   * For customers with high total spend and large order values (e.g., Cluster 3), offer exclusive VIP benefits, limited-time discounts, or early access to new products.\n",
    "\n",
    "3. **Boost Repurchase Rates and Order Value**\n",
    "\n",
    "   * For customers with high purchase frequency but low order amounts (e.g., Cluster 2), promote category bundles or threshold-based discounts to increase order depth and repurchase stickiness.\n",
    "\n",
    "4. **Standardized Operations for Regular Segments**\n",
    "\n",
    "   * For one-time, low-frequency, low-spend users (e.g., Clusters 0/1), apply low-cost reactivation tactics like basic coupons or best-seller recommendations.\n",
    "   * Since region and payment method have limited influence on behavior, they can be treated as secondary segmentation dimensions for refinement rather than primary drivers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d06418ea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:06:58.800173Z",
     "iopub.status.busy": "2025-07-10T22:06:58.799805Z",
     "iopub.status.idle": "2025-07-10T22:07:03.881006Z",
     "shell.execute_reply": "2025-07-10T22:07:03.879973Z"
    },
    "papermill": {
     "duration": 5.103214,
     "end_time": "2025-07-10T22:07:03.883170",
     "exception": false,
     "start_time": "2025-07-10T22:06:58.779956",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.2 全局摘要图（点图）/ SHAP summary dot plot\n",
    "# 2.2.1 cluster 0\n",
    "i = 0\n",
    "shap.summary_plot(\n",
    "    shap_values[i],  # 第 i 类的 SHAP 值 / SHAP value of i-th cluster\n",
    "    X_val,\n",
    "    show=False,\n",
    "    title=f\"SHAP Summary for Class {i}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf1d8785",
   "metadata": {
    "papermill": {
     "duration": 0.020913,
     "end_time": "2025-07-10T22:07:03.925597",
     "exception": false,
     "start_time": "2025-07-10T22:07:03.904684",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Cluster 0**:\n",
    "\n",
    "* **核心驱动因素**：近期度 (`R`)、累计消费 (`M`) 和平均客单价 (`order_value`) 是划入 Cluster 0 的最主要判断依据；\n",
    "* **频次 (`F`)** 起到次要的微调作用；\n",
    "* **地域和支付方式** 基本不影响该簇的预测。\n",
    "\n",
    "上述解读可帮助运营团队聚焦：要识别并触达 Cluster 0（高活跃/高价值人群），重点看「最近购买时间」和「消费金额／客单价」即可。\n",
    "\n",
    "---\n",
    "\n",
    "**Cluster 0**:\n",
    "\n",
    "* **Core Drivers**: Recency (`R`), Total Spending (`M`), and Average Order Value (`order_value`) are the primary factors influencing assignment to Cluster 0.\n",
    "* **Frequency (`F`)** plays a secondary, fine-tuning role.\n",
    "* **Geographic location and payment method** have little to no impact on predictions for this cluster.\n",
    "\n",
    "This insight helps the operations team focus their efforts: to identify and engage Cluster 0 (highly active/high-value users), prioritize recent purchase behavior and spending level/order value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3e00dd7c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:07:03.971601Z",
     "iopub.status.busy": "2025-07-10T22:07:03.971218Z",
     "iopub.status.idle": "2025-07-10T22:07:09.101740Z",
     "shell.execute_reply": "2025-07-10T22:07:09.100784Z"
    },
    "papermill": {
     "duration": 5.154911,
     "end_time": "2025-07-10T22:07:09.104528",
     "exception": false,
     "start_time": "2025-07-10T22:07:03.949617",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.2.2 cluster 1\n",
    "i = 1\n",
    "shap.summary_plot(\n",
    "    shap_values[i],  # 第 i 类的 SHAP 值 / SHAP value of i-th cluster\n",
    "    X_val,\n",
    "    show=False,\n",
    "    title=f\"SHAP Summary for Class {i}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1970729",
   "metadata": {
    "papermill": {
     "duration": 0.024983,
     "end_time": "2025-07-10T22:07:09.168749",
     "exception": false,
     "start_time": "2025-07-10T22:07:09.143766",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Cluster 1** 即“**久未复购、低频、低价、低价值**”的客户群，模型主要依赖 **Recency (`R`)** 做出区隔，其次依次是 **Frequency (`F`)**、**Monetary (`M`)** 和 **Average Order Value (`order_value`)**，地理与支付方式几乎不影响。\n",
    "\n",
    "---\n",
    "\n",
    "**Cluster 1** represents the \"**inactive, low-frequency, low-value**\" customer group. The model primarily relies on **Recency (`R`)** for differentiation, followed by **Frequency (`F`)**, **Monetary (`M`)**, and **Average Order Value (`order_value`)**. Geographic location and payment method have minimal impact on this cluster’s segmentation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "404a0a88",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:07:09.222438Z",
     "iopub.status.busy": "2025-07-10T22:07:09.222019Z",
     "iopub.status.idle": "2025-07-10T22:07:14.336643Z",
     "shell.execute_reply": "2025-07-10T22:07:14.335634Z"
    },
    "papermill": {
     "duration": 5.141457,
     "end_time": "2025-07-10T22:07:14.338795",
     "exception": false,
     "start_time": "2025-07-10T22:07:09.197338",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.2.3 cluster 2\n",
    "i = 2\n",
    "shap.summary_plot(\n",
    "    shap_values[i],  # 第 i 类的 SHAP 值 / SHAP value of i-th cluster\n",
    "    X_val,\n",
    "    show=False,\n",
    "    title=f\"SHAP Summary for Class {i}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a40abf16",
   "metadata": {
    "papermill": {
     "duration": 0.024739,
     "end_time": "2025-07-10T22:07:14.389173",
     "exception": false,
     "start_time": "2025-07-10T22:07:14.364434",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Cluster 2**（偶尔复购的中等价值用户）的主要判别信号是 **高购买频次**、**低客单价** 和 **低累计消费**，其次参考 **近期购买** 情况；地域与支付方式几乎不影响该簇的划分。基于此，运营可针对这类用户重点做“捆绑/套餐提升客单”与“购买频次奖励”策略。\n",
    "\n",
    "---\n",
    "\n",
    "For **Cluster 2** (occasional repeat purchasers with medium value), the key distinguishing signals are **high purchase frequency**, **low average order value**, and **low total spending**, with **recent purchase activity** as a secondary reference. Geographic location and payment method have little impact on this cluster’s segmentation.\n",
    "\n",
    "Based on these insights, operations can focus on strategies such as **bundling/packages to increase order value** and **frequency-based purchase incentives** for this user group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4193abf2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-10T22:07:14.440061Z",
     "iopub.status.busy": "2025-07-10T22:07:14.439401Z",
     "iopub.status.idle": "2025-07-10T22:07:19.766416Z",
     "shell.execute_reply": "2025-07-10T22:07:19.765412Z"
    },
    "papermill": {
     "duration": 5.354804,
     "end_time": "2025-07-10T22:07:19.768504",
     "exception": false,
     "start_time": "2025-07-10T22:07:14.413700",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x950 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2.2.4 cluster 3\n",
    "i = 3\n",
    "shap.summary_plot(\n",
    "    shap_values[i],  # 第 i 类的 SHAP 值 / SHAP value of i-th cluster\n",
    "    X_val,\n",
    "    show=False,\n",
    "    title=f\"SHAP Summary for Class {i}\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdff14ea",
   "metadata": {
    "papermill": {
     "duration": 0.026753,
     "end_time": "2025-07-10T22:07:19.824017",
     "exception": false,
     "start_time": "2025-07-10T22:07:19.797264",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Cluster 3**：\n",
    "* **首要驱动**：平均客单价（`order_value`）> 累计消费（`M`）\n",
    "* **次要微调**：购买频次（`F`）略有作用，Recency（`R`）影响不显著\n",
    "* **可忽略**：品类多样度、地域、支付方式\n",
    "\n",
    "这与业务标签“高客单一次性高价值用户”高度吻合——要识别这类人，重点看他们的“客单价”和“总消费”即可。\n",
    "\n",
    "---\n",
    "\n",
    "**Cluster 3**:\n",
    "* **Primary Driver**: Average order value (`order_value`) > Total monetary value (`M`)\n",
    "* **Secondary Adjustment**: Purchase frequency (`F`) plays a minor role; recency (`R`) has little impact\n",
    "* **Negligible Factors**: Product category diversity, geographic location, and payment method\n",
    "\n",
    "This aligns closely with the business label of \"high-order-value, one-time high-value users\" — to identify this group, the key is to focus on their **average order value** and **total spending**."
   ]
  }
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